Grokking PyTorch Intel CPU performance from first principles. (beta) Static Quantization with Eager Mode in PyTorch. (beta) Quantized Transfer Learning for Computer Vision Tutorial. (beta) Dynamic Quantization on an LSTM Word Language Model. Extending dispatcher for a new backend in C++. 
Registering a Dispatched Operator in C++. Extending TorchScript with Custom C++ Classes. Extending TorchScript with Custom C++ Operators. Fusing Convolution and Batch Norm using Custom Function. Jacobians, Hessians, hvp, vhp, and more: composing function transforms. Forward-mode Automatic Differentiation (Beta). (beta) Channels Last Memory Format in PyTorch. (beta) Building a Simple CPU Performance Profiler with FX. (beta) Building a Convolution/Batch Norm fuser in FX. Real Time Inference on Raspberry Pi 4 (30 fps!). (optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime. Deploying PyTorch in Python via a REST API with Flask. Reinforcement Learning (PPO) with TorchRL Tutorial. 
Language Translation with nn.Transformer and torchtext.Text classification with the torchtext library.NLP From Scratch: Translation with a Sequence to Sequence Network and Attention.NLP From Scratch: Generating Names with a Character-Level RNN.NLP From Scratch: Classifying Names with a Character-Level RNN.Fast Transformer Inference with Better Transformer.Language Modeling with nn.Transformer and torchtext.Optimizing Vision Transformer Model for Deployment.Transfer Learning for Computer Vision Tutorial.
TorchVision Object Detection Finetuning Tutorial.Visualizing Models, Data, and Training with TensorBoard.Deep Learning with PyTorch: A 60 Minute Blitz.
#Supermodel init netboard series#
Introduction to PyTorch - YouTube Series.
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